Mar 11 2019 41 mins 6
Kubernetes provides all the building blocks needed to run stateful workloads, but creating a truly enterprise-grade Apache Kafka® platform that can be used in production is not always intuitive. In this episode, Tim Berglund and Viktor Gamov address some of the challenges and pitfalls of managing Kafka on Kubernetes at scale. They also share lessons learned from the development of the Confluent Operator for Kubernetes, and answer questions like: -What is Kubernetes? -What are stateful workloads? -Why are they hard? -Will Confluent Operator make it easier? EPISODE LINKS Join the #kubernetes Slack channel Kafka on Kubernetes: Does it really have to be “The Hard Way”?
